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高关水库入库径流状态预测

胡小梅 陈向东 黄云章 丁俊芝

水资源与水工程学报2012,Vol.23Issue(5):123-126,4.
水资源与水工程学报2012,Vol.23Issue(5):123-126,4.

高关水库入库径流状态预测

Forcast of runoff state inflow Gaoguan Reservoir

胡小梅 1陈向东 2黄云章 1丁俊芝1

作者信息

  • 1. 湖北省漳河工程管理局,湖北荆门448156
  • 2. 湖北省高关水库管理局,湖北荆门431806
  • 折叠

摘要

Abstract

According to runoff stroage data from 1971 to 2010, five level standards were established by u-sing mean and standard deviation method. Appionted at the runoff characteristics of dependent random variables, taking all orders autocorrelation coefficients as weights, Markov chain model was used to predict the runoff state in the next year. The results show that the method can provide a new feasible way for regional and long-term runoff prediction, and is direct, accurate and simple.

关键词

自相关系数/马尔可夫链/径流量变化预测/高关水库流域

Key words

auto correlation coefficient/ Markov chain/ forecast of runoff change/ Gaoguan reservoir watershed

分类

天文与地球科学

引用本文复制引用

胡小梅,陈向东,黄云章,丁俊芝..高关水库入库径流状态预测[J].水资源与水工程学报,2012,23(5):123-126,4.

水资源与水工程学报

OACSTPCD

1672-643X

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